中山大学学报（自然科学版）Issue(1)：42-46,5.
混合调制信号调制识别方法
Method of Modulation Recognition of Mixed Modulation Signal
摘要
Abstract
Based on decision theory algorithm, the characteristic parameter extraction and automatic identification technology of mixed modulation signal are researched,and then the tree classifier with identification steps which are suitable for mixed modulation signal modulation recognition are put forward. The characteristic vector which are composition of the number of subcarrier signal,envelope variance of mean normalization and algorithm of the statistical value of subcarrier signal instantaneous amplitude dis-tribution area are first used in recognition of outer modulation and inner modulation respectively so as to reduce the noise interference and improve the accuracy of characteristic parameters.The simulation re-sults show that modulation recognition rate is close to 90%under the condition of SNR which is 6 dB and it has a good recognition effect compared with mixed modulation recognition method existing and a broad prospect of application in the management of the mixed signal modulation identification.关键词
树型分类器算法/混合调制信号/均值归一化包络方差/调制识别Key words
tree classifier algorithm/mixed modulation signal/envelope variance of mean normaliza-tion/modulation recognition分类
信息技术与安全科学引用本文复制引用
杨发权,李赞,罗中良..混合调制信号调制识别方法[J].中山大学学报（自然科学版）,2014,(1):42-46,5.基金项目
国家自然科学基金资助项目（61072070，61301179）；教育部博士学科点基金资助项目（20110203110011）；ISN国家重点实验室自主课题资助项目（ISN1101002）；广东省科技计划资助项目（2012B010100038）；广东省-教育部产学研结合资助项目（2012B091100364）；惠州市科技计划资助项目 （）
